Revert the changes on NCCL symmetric memory (#10210)

Co-authored-by: Yineng Zhang <me@zhyncs.com>

python/sglang/srt/layers/linear.py

@@ -13,14 +13,10 @@ from sglang.srt.distributed import (
     divide,
     get_tensor_model_parallel_rank,
     get_tensor_model_parallel_world_size,
-    parallel_state,
     split_tensor_along_last_dim,
     tensor_model_parallel_all_gather,
     tensor_model_parallel_all_reduce,
 )
-from sglang.srt.distributed.device_communicators.pynccl_allocator import (
-    use_symmetric_memory,
-)
 from sglang.srt.layers.parameter import (
     BasevLLMParameter,
     BlockQuantScaleParameter,
@@ -1315,9 +1311,7 @@ class RowParallelLinear(LinearBase):
         # Only fuse bias add into GEMM for rank 0 (this ensures that
         # bias will not get added more than once in TP>1 case)
         bias_ = None if (self.tp_rank > 0 or self.skip_bias_add) else self.bias
-        with use_symmetric_memory(parallel_state.get_tp_group()) as sm:
-            output_parallel = self.quant_method.apply(self, input_parallel, bias=bias_)
-            sm.tag(output_parallel)
+        output_parallel = self.quant_method.apply(self, input_parallel, bias=bias_)
 
         if self.reduce_results and self.tp_size > 1 and not skip_all_reduce:
             output = tensor_model_parallel_all_reduce(output_parallel)